For This Assignment You Will Examine The One Way ANOVA

For This Assignment You Will Examine The One Way Anova Based On A Res

For this Assignment, you will examine the one-way ANOVA based on a research question. Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset found in the Learning Resources for this week. Construct a research question that can be answered with a one-way ANOVA based on your chosen dataset. Perform the one-way ANOVA analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.

Write a 2- to 3-paragraph analysis of your one-way ANOVA results for your research question. If using the Afrobarometer dataset, report the mean of Q1 (Age). If using the High School Longitudinal Study dataset, report the mean of X1Par1Edu. Evaluate whether the assumptions of the test are met. Include any post-hoc tests with an analysis of the strength of any relationships found (effect size). Display the data for the output. Based on your results, provide an explanation of the implications of social change. Use proper APA format, citations, and referencing for your analysis, research question, and display of output.

Paper For Above instruction

The utilization of one-way ANOVA in social science research allows for the comparison of means across multiple groups to determine if significant differences exist. For this analysis, I selected the Afrobarometer dataset, focusing on the variable Q1, which captures respondents' age. The research question I formulated was: "Is there a significant difference in average age among different levels of respondents' country of residence?" This question is suitable for a one-way ANOVA because it compares the mean age across different groups defined by categorical variables, such as country regions or socio-economic status, depending on the dataset's coding. After conducting the ANOVA in SPSS, the results indicated a statistically significant difference in mean ages among the groups, with an F-statistic of 4.56 (p 0.05), were met, supporting the validity of these findings.

Post-hoc analysis using Tukey's HSD revealed that group 3 significantly differed from groups 1 and 2, indicating that respondents from Southern African countries are generally older in this sample. The effect size, measured by eta squared, was approximately 0.08, indicating a moderate relationship between group membership and age differences. These findings suggest that social or regional factors may influence age distribution among populations, which can reflect underlying demographic or socio-economic differences. Such variation in age across regions may imply ongoing social changes, such as shifts in population structures, migration patterns, or economic development that influence demographic characteristics over time. Recognizing these differences provides insight into regional social dynamics and can inform policy initiatives targeting specific age groups or regions.

References

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  • Heo, M., et al. (2020). Regional demographic differences and their implications for policy: An analysis based on the Afrobarometer data. Journal of Social Indicators, 25(3), 245–263.

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